| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10359172 | Computer Vision and Image Understanding | 2013 | 17 Pages |
Abstract
⺠A novel framework to compute the optic flow first-order spatial description. ⺠A set of linear models that dynamically adapt on the basis of context information. ⺠Optic flow affine description through a multiple model Kalman Filter. ⺠Reliable time-to-contact estimation for obstacle avoidance. ⺠Benchmarking on synthetic and real-world sequences.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Manuela Chessa, Fabio Solari, Silvio P. Sabatini,